The Amazon "replacing HR with AI" stuff is also public knowledge:
https://www.fastcompany.com/91565321/amazon-is-taking-human-out-of-hr-ai-chatbot-app-aza
Encouraging my parents to get a gentle leader for their lab. One of them is recovering from a hip replacement and the other is not physically up for it. I close with this:
"Some people will ask if it's a muzzle and the correct answer is 'yes' even though it's not. Those people are too daft to want to engage with and that knowledge will keep them at bay. An ancillary benefit, but very useful."
Sources: Nick Bilton is making $2.5M to lead 60 Minutes, or $1M more than Tanya Simon was paid for the same job before being ousted (Page Six)
https://pagesix.com/2026/06/04/hollywood/the-r…
RE: https://hachyderm.io/@thomasfuchs/116700754648719001
Thank you everyone for sharing your knowledge of an in-joke of a 1993 computer game in the replies
The reasons we consider plagiarism to be cheating in school and malpractice in professional contexts are many of the same reasons that LLMs are not going to replace all knowledge-based human labor. (Details left as an exercise for the reader.)
And yes, a whole lot of what LLMs do •would• count as plagiarism if one of my students did it manually, and •should• count as plagiarism just the same if they use a machine to do it — not just in a “that’s cheating!!” sense, but more importantly in a “that’s not really doing the work” sense.
5/
The Charge and the Curriculum: How the Dark Arts Replaced Black Magic
Two phrases arrive from different centuries and now sit on the same shelf: "black magic" and "the Dark Arts." Modern speakers treat them as synonyms. Older readers would have disagreed, and the disagreement matters, because the collapse of the two terms shows how our language for forbidden knowledge has migrated from the judicial to the aesthetic, from accusation to ambience.
LLMs Corrupt Your Documents When You Delegate
"Delegation requires trust - the expectation that the LLM will faithfully execute the task without introducing errors into documents. We introduce DELEGATE-52 to study the readiness of AI systems in delegated workflows. DELEGATE-52 simulates long delegated workflows that require in-depth document editing across 52 professional domains, such as coding, crystallography, and music notation. Our large-scale experiment with 19 LLMs reveals …
Navigating committor landscape of biomolecules with a general pairwise interaction model
Jintu Zhang, Zichang Jin, Huifeng Zhao, Kai Zhu, Bowei Zhao, Xujun Zhang, Peilin Kang, Tingjun Hou
https://arxiv.org/abs/2606.31832 https://arxiv.org/pdf/2606.31832 https://arxiv.org/html/2606.31832
arXiv:2606.31832v1 Announce Type: new
Abstract: Sampling rare conformation transitions between metastable states is a central challenge in atomistic simulations. While the committor function serve as an ideal reaction coordinate for driving enhanced sampling, their high-dimensional inputs and complex functional forms limit the efficacy of standard feedforward neural networks in modeling them. Inspired by recent breakthroughs in biomolecular structure prediction, we propose a novel committor learning framework grounded in the AlphaFold 3 paradigm. By integrating a lightweight, differentiable atom-level embedding with a simplified Pairformer architecture, our method inherently captures intricate dynamical features of diverse biosystems without requiring specialized prior knowledge. We demonstrate the superior expressiveness and accuracy of the proposed framework across multiple atomistic processes. For the folding of the chignolin mini-protein, our model reveals the finer-grained structure of its transition state ensemble (TSE) and a detailed bifurcated reaction mechanism. Furthermore, for calixarene host-guest systems, we develop a unified committor model that elucidates how ligand substituents regulate the ratio between distinct binding pathways, offering new perspectives for structure-based drug design.
toXiv_bot_toot
Large Language Models (LLMs) are poised to disrupt knowledge work,
with the emergence of delegated work as a new interaction paradigm
(e.g., vibe coding).
Delegation requires trust
- the expectation that the LLM will faithfully execute the task without introducing errors into documents.
Our large-scale experiment with 19 LLMs reveals that current models degrade documents during delegation:
even frontier models (Gemini 3.1 Pro, Claude 4.6 Opus, GPT 5.4) c…
If you’re using LLMs to help you with a specific thing when doing your job, they’re not doing the job for you.
Saying “an LLM is a software engineer” is like saying a hammer is an architect.
Just a complete categorical error.
If they actually fully replace you in your job, then you’re probably not doing your job; unless your job was to come up with plausible sequences of words not based on knowledge, skills or experience.